Instructions to use jason9693/klue-roberta-small-apeach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jason9693/klue-roberta-small-apeach with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jason9693/klue-roberta-small-apeach")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jason9693/klue-roberta-small-apeach") model = AutoModelForSequenceClassification.from_pretrained("jason9693/klue-roberta-small-apeach", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jason9693/klue-roberta-small-apeach: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/jason9693/klue-roberta-small-apeach/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jason9693/klue-roberta-small-apeach/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jason9693/klue-roberta-small-apeach/resolve/main/pytorch_model.bin
272 MB
- Xet hash:
- aafed9b85e1ca5d6c41b5b2b38d6b7bdeedc24604645f38c46ded43181a65e2e
- Size of remote file:
- 272 MB
- SHA256:
- a6e98274878a42ec59acb83e0d5dc9048303b4186af4eba59e5be84d6e5fb6fe
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